Rayne Sierra, Forest Kaya
a Chemologica Research , Moose Jaw , Saskatchewan , Canada.
b Department of Environmental Engineering Technology , Saskatchewan Polytechnic , Moose Jaw , Saskatchewan , Canada.
J Environ Sci Health A Tox Hazard Subst Environ Eng. 2016 Sep 18;51(11):938-53. doi: 10.1080/10934529.2016.1191812. Epub 2016 Jun 23.
The air-water partition coefficients (Kaw) for 86 large polycyclic aromatic hydrocarbons and their unsaturated relatives were estimated using high-level G4(MP2) gas and aqueous phase calculations with the SMD, IEFPCM-UFF, and CPCM solvation models. An extensive method validation effort was undertaken which involved confirming that, via comparisons to experimental enthalpies of formation, gas-phase energies at the G4(MP2) level for the compounds of interest were at or near thermochemical accuracy. Investigations of the three solvation models using a range of neutral and ionic compounds suggested that while no clear preferential solvation model could be chosen in advance for accurate Kaw estimates of the target compounds, the employment of increasingly higher levels of theory would result in lower Kaw errors. Subsequent calculations on the polycyclic aromatic and unsaturated hydrocarbons at the G4(MP2) level revealed excellent agreement for the IEFPCM-UFF and CPCM models against limited available experimental data. The IEFPCM-UFF-G4(MP2) and CPCM-G4(MP2) solvation energy calculation approaches are anticipated to give Kaw estimates within typical experimental ranges, each having general Kaw errors of less than 0.5 log10 units. When applied to other large organic compounds, the method should allow development of a broad and reliable Kaw database for multimedia environmental modeling efforts on various contaminants.
使用高水平的G4(MP2)气相和水相计算方法以及SMD、IEFPCM-UFF和CPCM溶剂化模型,估算了86种大型多环芳烃及其不饱和类似物的气水分配系数(Kaw)。开展了广泛的方法验证工作,其中包括通过与实验生成焓进行比较,确认目标化合物在G4(MP2)水平下的气相能量处于或接近热化学精度。使用一系列中性和离子化合物对这三种溶剂化模型进行的研究表明,虽然无法预先选择明确的优先溶剂化模型来准确估算目标化合物的Kaw,但采用越来越高的理论水平会导致更低的Kaw误差。随后在G4(MP2)水平上对多环芳烃和不饱和烃进行的计算表明,IEFPCM-UFF和CPCM模型与有限的可用实验数据具有出色的一致性。预计IEFPCM-UFF-G4(MP2)和CPCM-G4(MP2)溶剂化能计算方法给出的Kaw估算值在典型实验范围内,各自的一般Kaw误差小于0.5个log10单位。当应用于其他大型有机化合物时,该方法应有助于建立一个广泛且可靠的Kaw数据库,用于各种污染物的多媒体环境建模工作。